The Categorical Data Analysis using Logistic Regression training course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, and PROC GENMOD. The ODS Statistical Graphics procedures used are PROC SGPLOT and PROC SGPANEL. The course is not designed for predictive modelers in business fields, although predictive modelers can benefit from the content of this course.
By attending Categorical Data Analysis using Logistic Regression workshop, delegates will learn to:
- Use the FREQ procedure for preliminary analyses
- Recognize when logistic regression is appropriate
- Write code in the LOGISTIC procedure for binary, ordinal, and nominal logistic regression
- Create effect plots and odds ratio plots using ODS Statistical Graphics
- Create logit plots
- Use automatic model building options in PROC LOGISTIC
- Assess models for fit and influential observations using PROC LOGISTIC
- Assess functional form of the model effects using PROC GENMOD
- Create ROC curves for measuring sensitivity and specificity
- Perform exact and conditional logistic regression with PROC LOGISTIC
- Analyze repeated and clustered data using Generalized Estimating Equations (GEE's) in the GENMOD procedure
- Working knowledge of statistical modeling, including concepts of regression, analysis of variance, and contingency table analysis, which you can obtain in Statistics - Introduction to ANOVA, Regression, and Logistic Regression course
- Understanding of basic syntax in SAS procedures and DATA steps
- Experience in executing SAS programs and creating SAS data sets, which you can gain by attending the SAS Programming course
- Experience analyzing frequency tables using SAS software
This Categorical Data Analysis using Logistic Regression class is intended for Biostatisticians, epidemiologists, social scientists, and physical scientists.